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Probabilistic Computing via Gate‐Tunable Random Telegraph Noise
Advanced Science, EarlyView.Intrinsic random telegraph noise in metal–oxide–semiconductor field‐effect transistors is harnessed to create gate‐tunable probabilistic bits. By modulating carrier‐trapping dynamics, the device produces stochastic binary outputs with a continuous bias‐to‐probability transfer.
Gyungwon Yun +8 more
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Chelation‐Driven Dual‐Interface Regulation for Long‐Life Aqueous Zn–I2 Batteries
Advanced Science, EarlyView.Zn2+–TPEN coordination generates TPEN‐derived coordination species (TCC) that contribute to the regulation of both electrode interfaces. At the Zn anode, it creates an interfacial environment with reduced water accessibility that suppresses HER and corrosion while promoting uniform deposition; at the I2 cathode, it captures polyiodide to inhibit ...
Dong Wook Kim +10 more
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On the sum of independent zero-truncated Poisson random variables. [PDF]
Van Nieuwenhuyse, Inneke, Springael, L
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Estimation of parameters in the fractional compound Poisson process
Communications in Nonlinear Science and Numerical Simulation, 2014zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Ying Wang, Dehui Wang, Fukang Zhu
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The Poisson Process, Compound Poisson Process, and Poisson Random Field
2021Poisson processes broadly refer to stochastic processes that are the result of counting occurrences of some random phenomena (points) in time or space such that occurrences of points in disjoint regions are statistically independent, and counts of two or more occurrences in an infinitesimally small region are negligible.
Rabi Bhattacharya, Edward C. Waymire
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COMPARISON OF APPROXIMATIONS FOR COMPOUND POISSON PROCESSES
ASTIN Bulletin, 2015AbstractIn this paper, we compare the error in several approximation methods for the cumulative aggregate claim distribution customarily used in the collective model of insurance theory. In this model, it is usually supposed that a portfolio is at risk for a time period of length t.
Choirat, C., SERI, RAFFAELLO
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Risk processes connected with the compound poisson process
Scandinavian Actuarial Journal, 1969Abstract A portfolio of casualty insurances is usually very heterogeneous due to the wide spread of the individual risks also in case the policies are grouped according to risk classes. Stochastic models assuming identical risks for all policies in the risk class—e.g, the simple Poisson distribution—are not generally applicable to such a portfolio. For
Jung, Jan, Lundberg, Ove
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Empirical Likelihood for Compound Poisson Processes
Australian & New Zealand Journal of Statistics, 2012SummaryLet {N(t), t > 0} be a Poisson process with rate λ > 0, independent of the independent and identically distributed random variables with mean μ and variance . The stochastic process is then called a compound Poisson process and has a wide range of applications in, for example, physics, mining, finance and risk management.
Li, Z., Wang, X., Zhou, W.
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1984
(a) Definitions Consideration is now extended from the claim number processes to processes which operate the claim amounts, concerning both the individual claims and their sums, the aggregate claims. A primary building block is the randomly varying size Z of an individual claim, i.e.
Robert Eric Beard +2 more
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(a) Definitions Consideration is now extended from the claim number processes to processes which operate the claim amounts, concerning both the individual claims and their sums, the aggregate claims. A primary building block is the randomly varying size Z of an individual claim, i.e.
Robert Eric Beard +2 more
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On definition of compound poisson processes
Scandinavian Actuarial Journal, 1968Abstract Some authors define the (elementary) compound Poisson process in wide sense {χ t , 0 ⩽ t < ∞} with help of probability distributions where τ is a so-called operational time, a continuous non-decreasing function of t vanishing for t = 0, and V(q, t) is a non-negative distribution function for every t.
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